ML OPS
TALENT SOLUTIONS
Our MLOP's recruitment services are specifically tailored to the field of Machine Learning Operations. We understand the critical role ML Ops professionals play in bridging the gap between machine learning development and operational deployment, ensuring scalable, efficient, and reliable machine learning systems.
We specialize in MLOPS Jobs, offering data talent solutions for all levels of seniority within ML Ops, from hands-on engineers to strategic leaders. Our comprehensive approach ensures that your team not only has the technical expertise to manage ML systems but also the vision to achieve operational excellence and innovation.
WHY
HARNHAM?
Our reputation as a global leader in data recruitment is built on a foundation of hundreds of dedicated specialists who operate across the United States, Europe, and the United Kingdom. This extensive network empowers us to offer unparalleled recruitment solutions, matching our clients with the ideal Machine Learning Engineering and MLOPs Jobs talent.
We recognize the unique nature of each organization's Machine Learning needs. Our recruitment strategies are, therefore, highly customized, focusing on understanding and aligning with your specific business objectives and technical requirements.
OUR
SERVICES
- Permanent and Contract Recruitment: We provide both permanent and contract recruitment solutions, ensuring flexibility to meet the evolving needs of your Machine Learning projects and initiatives, including MLOPs jobs.
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- Executive Search: Our executive search service is designed to identify and secure leaders in the Machine Learning field who can propel your business strategies and technological innovations forward.
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- Industry-Specific Expertise: We operate across all industries, offering specialized recruitment solutions that understand and cater to the unique challenges and opportunities within your sector.
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Contact us today to learn how our bespoke talent solutions can enhance your organization's Machine Learning capabilities.
JOBS
LATEST ML OPS
JOBS
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.
AI Engineer
Amsterdam
€70000 - €80000
+ Computer Vision
PermanentAmsterdam, North Holland
To Apply for this Job Click Here
Job Title: AI Engineer – Computer Vision & AI Specialist
Location: Amsterdam
Job Type: Full-time
About Them
This company are on a mission to redefine what’s possible with AI. They are building cutting-edge solutions that harness the power of artificial intelligence to solve real-world problems at scale.
They are a smalll but growing company who have won multiple awards and they are looking for an AI/Computer Vision specialist to support them on a new role in the team.
The Role
They are looking for a passionate AI Engineer with deep expertise in Computer Vision to join our growing R&D team.
You’ll be designing and developing intelligent vision-based systems that can perceive, understand, and make decisions-across diverse environments and datasets.
This is a hands-on engineering role, perfect for someone who loves solving hard problems with elegant algorithms and robust code.
What You’ll Do
- Design, build, and deploy computer vision models (object detection, classification, segmentation, tracking, etc.)
- Work with image, video, and sensor data across real-time and batch pipelines
- Develop and optimize deep learning architectures (CNNs, Transformers, GANs, etc.)
- Collaborate with cross-functional teams including data engineers, product managers, and ML ops
- Research and implement state-of-the-art techniques from academia and industry
- Continuously monitor and improve model performance in production
- Contribute to our AI platform infrastructure and help scale our solutions
What They Are Looking For
- Proven experience in computer vision and deep learning (e.g., PyTorch, TensorFlow, OpenCV)
- Strong software engineering skills in Python and/or C++
- Solid understanding of neural networks, image processing, and machine learning fundamentals
- Familiarity with cloud platforms (AWS, GCP, or Azure) and GPU acceleration
- Experience with production-grade AI/ML systems is a big plus
- Degree in Computer Science, AI, Mathematics, or a related field (Master’s or PhD preferred)
- Curiosity, creativity, and a love for solving complex challenges
Bonus Points For
- Experience with 3D vision, LiDAR, SLAM, or AR/VR
- Contributions to open-source CV or AI projects
- Experience with MLOps and model lifecycle management
- Publications or Kaggle competition wins
What They Offer
- Competitive salary + stock options
- Flexible remote-first work culture
- Learning budget for conferences, books, and courses
- Work with a team of passionate, world-class AI engineers and researchers
- Real impact on cutting-edge products used by thousands (or millions!) of people
To Apply for this Job Click Here
Senior Platform Engineer
Manchester
£70000 - £85000
+ Data Engineering
PermanentManchester, Greater Manchester
To Apply for this Job Click Here
Senior Data Platform Engineer
Location: Primarily Remote (1 day/month in-office)
Salary: £70,000 – 85,000
Join a cutting-edge Data Platform Engineering team working on real-time analytics and microservices architecture to power one of the most sophisticated martech solutions in the industry.
About the Role:
Reporting directly to the Platform Engineering Manager, you’ll be a vital part of a team that enables real-time data processing and analytics. This role involves developing and maintaining microservices, capturing user events and feeding them into a Snowflake-powered analytics platform.
What You’ll Be Doing:
- Developing microservices that handle real-time data ingestion from APIs into the data warehouse
- Working with live-streaming data
- Writing clean, efficient Java code (Python is a bonus!)
- Enhancing and scaling the experimentation framework to support data science and ML operations
- Ensuring high-quality, accurate data delivery across data platforms
- Collaborating with analytics engineers and data scientists to enable fast insights
- Participating in a CI/CD pipeline to deliver high-velocity, production-ready systems
This Role Requires:
- Strong Java skills
- Experience with live-streaming technologies such as Kafka, Flink or Kinesis
- Solid understanding of event-driven architecture
- Experience with CI/CD practices and tools
- Familiarity with microservices and modern cloud-based platforms
- Exposure to MLOps and Kubernetes is a big plus
- Computer Science degree or equivalent practical experience
To Apply for this Job Click Here
MLOPS ENGINEER
Paris
€60000 - €65000
+ Data Engineering
PermanentParis, ÃŽle-de-France
To Apply for this Job Click Here
MLOPS ENGINEER
PARIS (75)
60-65k€
PYTHON – DOCKER – AWS – GPU
Venez rejoindre cette start-up Saas IA pour un rôle de MLOps engineer.
VOTRE RÔLE
Vous serez en charge de :
- Évoluer et maintenir l’infrastructure ML
- Accélérer et soutenir la recherche
- Améliorer les pipelines ML et les performances de prédiction des modèles
- Assurer des opérations fiables
- Surveiller les coûts et les performances du système
VOTRE PROFIL
- Au moins une première expérience sur un rôle similaire
- Maîtrise de Python et docker obligatoire
- Connaissance d’un cloud public idéalement AWS
- C’est un plus si vous avez travaillé sur des GPU
- Top école d’ingénieur
- Basé à Paris
To Apply for this Job Click Here
MLOps
Paris
€60000 - €75000
+ Data Science & AI
PermanentParis, ÃŽle-de-France
To Apply for this Job Click Here
MLOPS
Localisation : Paris
Télétravail : 2 jours/semaine
Salaire : selon profil et expérience,60-75K euros fixe
Nous recherchons un profil MLOps pour notre client, une scaleup française spécialisée dans des solutions d’IA. Vous serez rattaché au Head of Data et rejoindrez une équipe composée de 6 personnes.
Missions :
- Développer et maintenir l’infrastructure de Machine Learning
- Accélérer et soutenir la recherche
- Améliorer les pipelines de Machine Learning et les performances de prédiction
- Assurer la fiabilité des opérations
- Surveiller les coûts et les performances du système
Profil recherché :
- BAC+5 école d’ingénieurs
- 3 ans d’expérience post-diplôme minimum
- Expérience avérée en start-up/scale-up
- Maîtrise de Python, Docker et d’un Cloud Provider
- Expérience sur des GPU
- Anglais et Français obligatoires
To Apply for this Job Click Here
Senior Machine Learning Engineer
Boston
$160000 - $200000
+ Data Science & AI
PermanentBoston, Massachusetts
To Apply for this Job Click Here
Senior Machine Learning Engineer
$160,000 – $200,000
Hybrid – Boston, MA
My client is a non-profit, government-funded research organization that is advancing national security and providing independent advice on matters of public interest. With a significant portion of the American public expressing skepticism about AI, they are dedicated to changing that narrative and fostering trust in AI technologies.
This role will be on the Trusted and Secure AI team, where the mission is to develop AI products and services that enhance collective societal well-being. They are seeking a Senior AI Security Engineer to provide technical leadership and drive innovation in the development of secure AI/ML solutions, with a specific focus on large language models (LLMs)
The Role
- Analyze AI use cases to recommend secure and trustworthy solutions to sponsors.
- Prototype AI and LLM-based tools to meet operational needs.
- Evaluate technology solutions in the context of mission data and workflows, providing actionable recommendations.
- Communicate complex ideas to non-technical audiences through briefings and white papers.
- Lead or significantly contribute to projects aimed at solving complex AI security problems for our sponsors.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related field; an advanced degree (Master’s or PhD) is strongly preferred.
- Security clearance required (TS/SCI preferred; candidates must be able to obtain clearance if not currently held).
- Strong emphasis on thought leadership-publications and experience in an academic setting are highly valued.
- Proven experience with prototyping, LLMs, and building databases or data pipelines. Candidates should be comfortable and excited about creating solutions from scratch.
- Demonstrable experience with LLMs, particularly in innovative applications beyond typical chatbot implementations.
THE BENEFITS
A competitive base salary of $160,000-$200,000 will be offered (dependent on experience) + Equity + Benefits
HOW TO APPLY
Please register your interest by sending your Resume to Cassie Wandell via the Apply link on this page
KEYWORDS
MLOps | Machine Learning | AI | TensorFlow | Deep Learning | AWS | PyTorch | Edge Computing | Agile | Python | Hadoop | Java | C | API | TSSCI | Big Data | Statistics | Bayesian
To Apply for this Job Click Here
VP of Machine Learning Platforms
New York City
$210000 - $230000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
VP of Machine Learning Platforms
Hybrid – NYC Metro Area
$210,000-$230,000
CLIENT
Our client is a leading innovator in the financial sector, leveraging cutting-edge technology and engineering solutions to drive impactful business outcomes by integrating advanced systems, data, and ideas.
As a VP of Machine Learning Platforms, you will oversee the development and management of Python programming and AI/ML runtime environments. This includes building a robust Python user community, delivering tools to streamline user workflows, and leading the development of foundational runtime environments that support state-of-the-art AI/ML models using advanced GPU hardware and multi-cloud platforms.
THE ROLE
- Define and implement a strategic vision for Python and AI/ML runtime platforms.
- Lead, mentor, and develop a high-performing engineering team specializing in Python and MLOps.
- Drive collaboration and innovation to foster a culture of continuous improvement.
- Work with stakeholders and industry leaders to design scalable, containerized runtime environments for AI/ML models.
- Apply MLOps and CI/CD principles to create fully automated build and deployment pipelines.
- Ensure smooth integration and performance of AI/ML frameworks on Unix-based systems and GPU-supported environments.
- Develop user resources, such as example notebooks, to demonstrate effective AI/ML framework utilization.
- Promote best practices for MLOps and advocate for adopting the latest advancements in AI/ML software and technologies.
YOUR SKILLS AND EXPERIENCE
- Proficiency in Python for machine learning or application development.
- Expertise in building and maintaining containerized runtime environments for data science and machine learning.
- Strong leadership experience with a proven ability to guide and develop engineering teams.
- Solid knowledge of Unix-based systems, CI/CD pipelines, and GPU-supported runtime environments (e.g., CUDA).
- Advanced understanding of Python frameworks, tools, and packages.
- Familiarity with containerization tools (e.g., TensorRT, ONNX, MPI, DeepSpeed) and orchestration platforms like Kubernetes.
- Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation) and public cloud platforms (e.g., AWS, GCP).
- Exceptional problem-solving skills and the ability to thrive in dynamic environments.
- Strong communication skills to articulate technical concepts to diverse audiences.
BENEFITS
- Competitive base salary: $210,000-$230,000 (dependent on experience)
- Performance-based bonus and comprehensive benefits package
HOW TO APPLY
Submit your resume to Grace McCarthy via the “Apply” link on this page
KEYWORDS
MLOps | Machine Learning | AI | TensorFlow | Deep Learning | AWS | PyTorch | Python | Financial Data | Platform | Deployment | CI/CD | Containerization | Infrastructure
To Apply for this Job Click Here
Director of Machine Learning Infrastructure
Jersey City
$250000 - $270000
+ Data Science & AI
PermanentJersey City, New Jersey
To Apply for this Job Click Here
Director of Machine Learning Infrastructure
Financial Services
Jersey City, NJ – 4 days onsite
$250,000-270,000 base + bonus + RSUs
Harnham is teaming up with a top-tier financial powerhouse to find an extraordinary leader who will revolutionize the future of their AI/ML platforms. This is your chance to take the helm of cutting-edge projects, pushing the boundaries of technology with the potential to make a global impact. If you’re a GPU expert with an unstoppable drive to build MLOps infrastructure from scratch, this is the opportunity you’ve been waiting for!
The Role
- Lead a team of skilled AI/ML/MLOps Engineers to deliver innovative solutions and solve complex problems in the financial services sector.
- Drive the strategic vision for the firm’s AI/ML frameworks and GPU-powered platforms while staying hands-on with technical execution.
- Define the strategic direction for AI/ML frameworks and GPU-powered platforms.
- Collaborate with internal and external stakeholders to implement best-in-class tools and technologies.
- Apply MLOps best practices to create seamless, efficient deployment pipelines.
- Build and maintain containerized runtime environments for AI/ML workloads.
Skills and Experience
- Expert-level proficiency in Python programming and machine learning frameworks like TensorFlow and PyTorch.
- In-depth experience with GPUs and related technologies, including CUDA.
- Hands-on experience with containerization, cloud platforms, and CI/CD pipelines.
- Direct people management experience of modest-sized teams
- Ability to gain buy-in from stakeholders across the business
- Fluent in machine learning operations, runtime, orchestration and workflow optimization
- Fluent in maintaining containerized runtime environments
- Experience building CI/CD pipelines
- Demonstrated ability to balance strategic leadership with hands-on technical execution.
- BS or MS degree in Computer Science, Computer Engineering or similar
THE BENEFITS
A competitive base salary of $250,000-270,000 + bonus + equity
HOW TO APPLY
Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.
KEYWORDS
Machine Learning | GenAI | Gen AI | Generative AI | LLMs | Large Language Models | Artificial Intelligence | MLOps | Production | Machine Learning Operations | AI | Artificial Intelligence | GPUs | Containerization | PyTorch | Python | CUDA
To Apply for this Job Click Here
Director of Machine Learning Platform
Jersey City
$250000 - $270000
+ Data Science & AI
PermanentJersey City, New Jersey
To Apply for this Job Click Here
Director of Machine Learning Platform
Financial Services
Jersey City, NJ – 4 days onsite
$250,000-270,000 base + bonus + RSUs
Harnham is teaming up with a top-tier financial powerhouse to find an extraordinary leader who will revolutionize the future of their AI/ML platforms. This is your chance to take the helm of cutting-edge projects, pushing the boundaries of technology with the potential to make a global impact. If you’re a GPU expert with an unstoppable drive to build MLOps infrastructure from scratch, this is the opportunity you’ve been waiting for!
The Role
- Lead a team of skilled AI/ML/MLOps Engineers to deliver innovative solutions and solve complex problems in the financial services sector.
- Drive the strategic vision for the firm’s AI/ML frameworks and GPU-powered platforms while staying hands-on with technical execution.
- Define the strategic direction for AI/ML frameworks and GPU-powered platforms.
- Collaborate with internal and external stakeholders to implement best-in-class tools and technologies.
- Apply MLOps best practices to create seamless, efficient deployment pipelines.
- Build and maintain containerized runtime environments for AI/ML workloads.
Skills and Experience
- Expert-level proficiency in Python programming and machine learning frameworks like TensorFlow and PyTorch.
- In-depth experience with GPUs and related technologies, including CUDA.
- Hands-on experience with containerization, cloud platforms, and CI/CD pipelines.
- Direct people management experience of modest-sized teams
- Ability to gain buy-in from stakeholders across the business
- Fluent in machine learning operations, runtime, orchestration and workflow optimization
- Fluent in maintaining containerized runtime environments
- Experience building CI/CD pipelines
- Demonstrated ability to balance strategic leadership with hands-on technical execution.
- BS or MS degree in Computer Science, Computer Engineering or similar
THE BENEFITS
A competitive base salary of $250,000-270,000 + bonus + equity
HOW TO APPLY
Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.
KEYWORDS
Machine Learning | GenAI | Gen AI | Generative AI | LLMs | Large Language Models | Artificial Intelligence | MLOps | Production | Machine Learning Operations | AI | Artificial Intelligence | GPUs | Containerization | PyTorch | Python | CUDA
To Apply for this Job Click Here
Senior NLP Engineer
New York City
$190000 - $210000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
NLP/Machine Learning Engineer – Financial Services
$190,000-$210,000 + Bonus
New York City – Hybrid
We are working with a top-tier financial institution that is rapidly expanding its AI and machine learning capabilities. They are investing heavily in NLP-driven solutions to enhance financial modeling, risk assessment, and automation.
As they scale, they are looking for an NLP/ML Engineer to design, build, and deploy machine learning models into production-playing a critical role in shaping the firm’s AI strategy.
THE ROLE
This role will be responsible for developing and deploying end-to-end NLP and ML solutions that drive efficiencies across financial operations, risk assessment, and data analytics. You will work with cutting-edge machine learning frameworks to build scalable AI solutions that integrate seamlessly into the firm’s core business processes.
RESPONSIBILITIES
- Design and deploy NLP and ML models for financial risk assessment, automation, and decision-making.
- Take models from research and development through production, ensuring scalability and efficiency.
- Work closely with engineering and infrastructure teams to optimize model performance.
- Develop and fine-tune large language models (LLMs) to enhance financial insights.
- Integrate AI-driven solutions into cloud environments and financial data pipelines.
- Collaborate with stakeholders across data science, trading, risk, and compliance teams.
- Stay up to date with the latest AI research and advancements in NLP and ML.
YOUR BACKGROUND
- Strong hands-on experience in NLP and machine learning, preferably in financial services.
- Proven track record of deploying ML models into production at scale.
- Expertise in Python, TensorFlow, PyTorch, and cloud-based ML solutions (AWS, Azure, or GCP).
- Experience with large language models (LLMs) and transformer architectures.
- Familiarity with MLOps best practices for model deployment and monitoring.
- Strong problem-solving skills and ability to work cross-functionally.
HOW TO APPLY
If you have a background in NLP/ML and experience deploying AI models in financial services, apply via the link below or reach out to [Your Contact Name].
KEYWORDS
NLP | Machine Learning | LLMs | Financial AI | Risk Modeling | Model Deployment | Python | MLOps | AI in Finance | Cloud ML | Deep Learning
To Apply for this Job Click Here
Machine Learning Engineer
New York
$190000 - $220000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Are you looking to play a key role in a fast-growing FinTech startup? To build a cutting-edge platform from the ground up? To work in the bustling heart of Manhattan, New York? This ML role is for you!
THE COMPANY
This startup is on track to be a groundbreaker in the financial technology space. With a recent Series A fundraise in the bank, their team is looking for a Machine Learning Operations Engineer to assist in building out their innovative AI-powered accounting platform, to design their infrastructure from start to finish, and to serve as a founding member of their lightweight, streamlined team.
THE ROLE
The MLOps engineer will play a fundamental role on this 14-person team and will be responsible for building and maintaining an AI platform with data accuracy as a crucial cornerstone.
In this role, you will be responsible for:
- Building a major data infrastructure platform from the ground up, working primarily in Python.
- Maintaining platform reliability over time.
- Developing and maintaining crucial, fail-resistant data pipelines.
- Organizing, scaling, and maintaining many data models that operate in tandem.
WHO YOU ARE
- You come from a Machine Learning background, with an emphasis on infrastructure engineering projects.
- You have experience (and interest) in accounting and financial data infrastructure.
- You are familiar with the process of growing a startup through multiple rounds of funding.
- You are highly proficient in Python.
- You have completed a major data infrastructure project from start to finish.
- You are comfortable working in a busy, pioneering environment.
BENEFITS
- An annual salary of $190,000 – 220,000 depending on experience
- Above-market-standard compensation, benefits, and equity package.
- 401k, health, vision, and dental insurance
- The ability to make a direct impact on a quickly growing organization.
HOW TO APPLY
Please register your interest by sending your CV to Jack Wolf via the application link on this page.
To Apply for this Job Click Here
Senior Machine Learning Engineer
Manchester
£70000 - £80000
+ Data Science & AI
PermanentManchester, Greater Manchester
To Apply for this Job Click Here
SENIOR MACHINE LEARNING ENGINEER – MLOPS
REMOTE (Travel to London once per month)
Up to £75,000 + £5,000 bonus + strong pension
COMPANY:
We are working with a leading telecoms/mobile network who are looking to change the game when it comes to the service it provides its customers.
They are looking for an MLOps Engineer that is passionate about tech and working within a fast paced environment.
ROLE:
- Design, build, and deploy scalable machine learning models to solve complex business problems.
- Implement and maintain robust MLOps pipelines, ensuring efficient CI/CD processes for machine learning.
- Automate the deployment and monitoring of models in production to ensure continuous performance and stability.
- Collaborate closely with data scientists, helping them move models from development to production seamlessly.
- Monitor and troubleshoot machine learning models in production environments, ensuring uptime and accuracy.
- Develop best practices around model versioning, testing, and governance.
- Stay up-to-date with the latest developments in ML engineering, cloud services, and automation tools.
REQUIREMENTS:
- 4+ years of experience in machine learning engineering, with a strong focus on productionizing ML models and MLOps.
- Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Hands-on experience with CI/CD pipelines, version control, and ML workflows (MLflow, Kubeflow).
- Proven track record of delivering ML models that solve real-world business challenges at scale.
- Excellent communication skills with the ability to work effectively in cross-functional teams.
If this role looks of interest, please reach out to Daniel Abbasi via the apply link on this page.
To Apply for this Job Click Here
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HARNHAM
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Testimonials
Client and
candidate
testimonials
A trusted partner of professionals
across the globe.
We understand the challenges our
customers face and offer the
recruitment solutions needed to drive
business success through Data &
AI.
Candidate – Data Analyst
I’ve had a great experience with Harnham. The recruiter provided great advice and ensured that I understood everything, and even followed up with me after I started my new role to see how I was settling in. I would recommend Harnham as a great recruitment company for anyone looking for a role in data and analytics.
Candidate /
Data Analyst
Client – Data Direction – Broadcast Media
I have worked with Harnham for over 2 years now as our main Analytics Recruiter partner and I am very pleased with the overall service and the people we have hired via Harnham. Harnham’s team is very good at understanding our recruitment needs and always come back with relevant and well scanned CVs, which saves me precious time.
Client /
Data Direction – Broadcast Media
Candidate – Chief Data Officer
It was a real treat to work with Harnham. My recruiter consistently went above and beyond to ensure that I navigated through the recruitment process as smooth as possible. I had been in contact with other professional at Harnham in the past and I can attest that the level of professionalism is always top-notch.
Candidate /
Chief Data Officer
Candidate – Digital Media and Analytics
I've recently got a short-term contract role through Harnham, and things couldn't have gone better! My recruiter was incredibly helpful throughout the entire process. They also provided incredible admin support so that I could focus on the actual job in hand, rather than having to spend too much time dealing with these matters.
Candidate /
Digital Media and Analytics
Candidate – Market Research Analyst
Thanks to Harnham, I am now in a role that suits me. My recruiter was able to quickly identify the skills I had to offer and match me up with his client. It was a win-win for everyone. I was given great advice throughout the process, and I also appreciated the follow-ups that I received.
Candidate /
Market Research Analyst
Candidate – Senior Data Engineer
I've been a Senior Data Engineer for about 4-5 years and Harnham is one of the best recruitment agencies I worked with. There was a time when my offer fell through and the recruiter I was working with at Harnham jumped in to the rescue and scheduled interviews for me within a couple of days. Really good agency and some great people.
Candidate /
Senior Data Engineer
Client – Director of Customer Data Science – Apparel
The team at Harnham have been outstanding in helping our company build a market-leading data science team. Harnham’s communication is great, and the recruiter’s take a consultative approach that’s really focused on provided value for both their clients and their candidates. They provide strong candidates that help us fill our roles with high achievers who are also a great fit for our culture.
Client /
Director of Customer Data Science – Apparel
Client – Director of People Operations
We’ve been collaborating with Harnham to recruit some key positions for our company, and they have been incredible partners. They team has been great and efficient. They understood our needs perfectly and provided us very talented candidates. We'll keep collaborating with them in the future. Thank you for your excellent job!
